Evidence map›Paper›PMID 38930361›Full record

ArticleMaterials (Basel, Switzerland)2024

Influence of Residue Soil on the Properties of Fly Ash-Slag-Based Geopolymer Materials for 3D Printing.

Zhijie Zhou, Jian Geng, Chen Jin, Genjin Liu, Zhenjiang Xia

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhijie ZhouCollege of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310017, China.ORCID 0009-0005-0093-0763
Jian GengSchool of Civil Engineering, Ningbo Tech University, Ningbo 315100, China.
Chen JinCollege of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310017, China.
Genjin LiuSchool of Civil Engineering, Ningbo Tech University, Ningbo 315100, China.
Zhenjiang XiaCollege of Architectural Engineering, Zhejiang University of Technology, Hangzhou 310018, China.

Funding

National College Students Innovation Training Project(202313022050) 500Ningbo Science and Technology Bureau(2021Z113) 500Science Technology Department of Zhejiang Province(LTGS24E020003) 1000
6 · The paper itself

Abstract

This study investigates the impact of residue soil (RS) powder on the 3D printability of geopolymer composites based on fly ash and ground granulated blast furnace slag. RS is incorporated into the geopolymer mixture, with its inclusion ranging from 0% to 110% of the combined mass of fly ash and finely ground blast furnace slag. Seven groups of geopolymers were designed and tested for their flowability, setting time, rheology, open time, extrudability, shape retention, buildability, and mechanical properties. The results showed that with the increase in RS content, the fluidity of geopolymer mortar decreases, and the setting time increases first and then decreases. The static yield stress, dynamic yield stress, and apparent viscosity of geopolymer mortar increase with the increase in RS content. For an RS content between 10% and 90%, the corresponding fluidity is above 145 mm, and the yield stress is controlled within the range of 2800 Pa, which meets the requirements of extrusion molding. Except for RS-110, geopolymer mortars with other RS contents showed good extrudability and shape retention. The compressive strength of 3D printing samples of geopolymer mortar containing RS has obvious anisotropy.

Indexed as

3D printing materialsbuildabilitygeopolymersmechanical propertiesresidue soilrheology

Identifiers

PMID38930361
PMCPMC11205839

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.